None. Fundamental mathematical skills are required, particularly the ability to perform basic algebra. For students concerned about their mathematical background, MATH 101 (a non-credit course) is suitable preparation for taking MATH 216.
Course start date:
If you are a:
Self-funded student: register by the 10th of the month, start on the 1st of the next.
Both the midterm and final are closed-book, machine-marked exams in the Möbius online platform and are invigilated through ProctorU. See the Evaluation section of the syllabus for more information.
Mathematics Assessment. This 70-question evaluation will help you assess your mathematical skills. Based on your score, an instructor will recommend which Athabasca University mathematics course you are most likely ready to successfully complete.
Overview
MATH 216 gives students a working knowledge and understanding of descriptive and inferential statistics and the application of statistics in the sciences, social sciences, and business.
An important feature of MATH 216 is its computer component, which teaches you how to use an industry standard statistical software application to apply the tools of statistics to make practical decisions, prepare reports in the workplace, and effectively complete papers and research projects in other university courses. Because this course encourages you to use computer software to apply the methods of statistics, it is particularly valuable in a society which is increasingly dependent on electronic sources of information such as intranet databases, external databases, the internet, electronic instruments, and point of sales electronic terminals.
Outline
Unit 1: Descriptive Statistics
Unit 2: Probability
Unit 3: Probability Distributions
Unit 4: Inference on One Sample
Unit 5: Inference on Two Samples
Unit 6: Bivariate Analysis
Learning outcomes
Upon successful completion of this course, you should be able to
apply the basic principles of statistical analysis using statistical software.
employ the tools of descriptive statistics to organize, summarize, and present information in a meaningful way.
predict the likelihood of real-world events, based on rules of probability and common probability distributions.
estimate and test hypotheses regarding characteristics of both single and multiple populations.
identify patterns of relationships between qualitative variables.
employ linear correlation and regression methods to analyze relationships between quantitative variables.
responsibly use statistical methods by testing the underlying assumptions.
Evaluation
To receive credit for MATH 216, you must submit all six course assignments and complete them to the satisfaction of your tutor. You must also achieve a grade of at least 50 percent on each examination, and a course composite grade of at least D (50 percent).
Activity
Weight
Assignment 1
5%
Assignment 2
5%
Assignment 3
5%
Midterm Exam
35%
Assignment 4
5%
Assignment 5
5%
Assignment 6
5%
Final Exam
35%
Total
100%
To learn more about assignments and examinations, please refer to Athabasca University’s online Calendar.
The midterm and final examinations are closed-book, machine-marked exams in the Möbius online platform and are invigilated through ProctorU. Examinations for this course must be requested in advance. Students are responsible for payment of invigilation fees.
Note: Students are expected to use a standard scientific calculator during the exams. Programmable calculators, graphing calculators (e.g., TI-83), computers, or any other mobile electronic devices are not permitted. Students will have three (3) hours to complete each exam.
Information on exam request deadlines, invigilators, and other exam-related questions can be found in the Exams and grades section of the Calendar.
Materials
Larson, R. (2023). Elementary statistics: Picturing the world (8th ed.). Pearson. (eText)
Athabasca University reserves the right to amend course outlines occasionally and without notice. Courses offered by other delivery methods may vary from their individualized study counterparts.